About CertifyOS
CertifyOS is building the data infrastructure that powers modern healthcare.
Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.
Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.
Our vision is simple: One API. One provider ID. Frictionless provider data.
We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.
About the RoleWe're hiring a Staff Data Platform Engineer to own the data platform that makes CertifyOS the source of truth for provider data. You'll set the architecture, lead a team of engineers to deliver it, and be accountable for the reliability, freshness, and cost of our data.
What You’ll DoLead a team of engineers to deliver data platform initiatives end to end
Own data architecture across OLTP, OLAP, and NoSQL stores (Aurora PostgreSQL, Redshift, MongoDB)
Design and operate distributed real-time and batch pipelines in Python and PySpark (Kafka, Kinesis, SNS/SQS)
Lead entity resolution and MDM architecture for provider data
Build and own data products with clear contracts, SLAs, and consumers
Be accountable for data reliability, freshness, quality, and cost, with the observability to prove it
Drive performance and scale work: profile, benchmark, and re-architect as volume grows
Build the data foundations for AI/ML workloads
Mentor engineers, raise the bar on design and code review, and partner with product, analytics, and ML
Join the on-call rotation and turn incidents into systemic fixes
10+ years building production data systems, including Staff or Tech Lead scope
Led a team of engineers to deliver complex data systems
Expert Python and production PySpark
Deep distributed systems knowledge: consistency, partitioning, idempotency, backpressure, failure handling
Significant entity resolution and MDM experience: matching, deduplication, survivorship, golden records at scale
Built and owned data products used by other teams
Shipped measurable performance and scale improvements
Expertise across OLTP (Aurora, PostgreSQL, MySQL), OLAP (Redshift, Athena, Snowflake, ClickHouse), and NoSQL (MongoDB, DynamoDB, Cassandra)
Stream processing and event-driven architecture (Kafka, Kinesis, SNS/SQS)
Data observability in practice: quality checks, lineage, monitoring, alerting
Built data platforms that serve ML workloads
Influences technical direction across teams and communicates clearly with non-technical stakeholders
Experience handling sensitive data (PII/PHI)
Fluent with AI-assisted development (Cursor, Claude Code, MCP)
Change Data Capture (CDC) patterns
Data mesh or data-platform-as-a-product approaches
Schema registries or data catalogs
Orchestration tools (AWS Glue, EMR, Managed Flink, Airflow/MWAA, dbt)
Healthcare or other regulated environments
OLTP: Aurora, RDS PostgreSQL
OLAP: Redshift, Athena
NoSQL: MongoDB Atlas
Streaming: Kafka (MSK), Kinesis, SNS/SQS
Python and PySpark
AWS, Docker, Kubernetes (EKS)
GitHub Actions
Sentry and data observability tooling
Cursor, Claude Code, Codex
Benefits of Working at Certify
At Certify, we’re building with intention and taking care of the people doing the work.
Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.
We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.
If you require reasonable accommodations during the application process, please contact [email protected].
We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.
Skills Required
- 10+ years building production data systems, including Staff or Tech Lead scope
- Experience leading a team of engineers delivering complex data systems
- Expert Python and production PySpark experience
- Deep distributed systems knowledge, including consistency, partitioning, idempotency, backpressure, and failure handling
- Significant entity resolution and master data management experience, including matching, deduplication, survivorship, and golden records at scale
- Experience building and owning data products used by other teams
- Experience delivering measurable performance and scale improvements
- Expertise across OLTP, OLAP, and NoSQL databases
- Experience with stream processing and event-driven architecture
- Practical data observability experience, including quality checks, lineage, monitoring, and alerting
- Experience building data platforms that serve machine learning workloads
- Ability to influence technical direction across teams and communicate with non-technical stakeholders
- Experience handling sensitive PII or PHI data
- Fluency with AI-assisted development tools
- Experience with change data capture patterns
- Experience with data mesh or data-platform-as-a-product approaches
- Experience with schema registries or data catalogs
- Experience with AWS Glue, EMR, Managed Flink, Airflow or MWAA, or dbt
- Healthcare or other regulated-environment experience
CertifyOS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CertifyOS and has not been reviewed or approved by CertifyOS.
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Affordable Benefits — Employee premiums for U.S. health, dental, and vision plans are covered 100%, materially lowering out-of-pocket costs. This employer contribution can offset a lower base and add meaningful value to total compensation.
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Leave & Time Off Breadth — An unlimited PTO policy with a mandatory minimum of two weeks, plus “no‑meeting Thursdays,” is designed to reduce burnout and support deep work. These practices emphasize recharge time alongside flexibility.
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Wellbeing & Lifestyle Benefits — A remote‑first setup with virtual company events and a home‑office/equipment stipend supports distributed work and team connection. Mental health benefits are also listed.
CertifyOS Insights
What We Do
CertifyOS is a first-of-its-kind provider intelligence platform, powered by API integrations and hundreds of verified data points. We unlock insights and power performance for clinicians, teams and organizations, with frictionless licensing and enrollment, one-click credentialing and real-time network monitoring at your fingertips.
Why Work With Us
We are a remote team-first culture that ensures every employee has the opportunity to grow and learn. Join our team and feel good about what you’re doing and where you’re going.
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